Chunkai Zhang

According to our database, Chunkai Zhang authored at least 80 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Totally-ordered Sequential Rules for Utility Maximization.

Chunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu

ACM Trans. Knowl. Discov. Data, May, 2024

HUSP-SP: Faster Utility Mining on Sequence Data.

Chunkai Zhang, Yuting Yang, Zilin Du, Wensheng Gan, Philip S. Yu

ACM Trans. Knowl. Discov. Data, January, 2024

Multi-view contrastive learning with virtual social group influence for social recommendation.

Chunkai Zhang, Guoqing Li, Hanyu Zhang

Knowl. Based Syst., 2024

Assisted decision making for conditional maintenance of distribution network equipment based on multi-task deep learning.

Zhenyu Luo, Tu Xiong, Minghui Chen, Mingzhu Kong, Chunkai Zhang

Int. J. Comput. Appl. Technol., 2024

Generating Time Series by Using Latent Space.

Xinyu Cui, Chunkai Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

BiasRec: A General Bias-Aware Social Recommendation Model.

Chunkai Zhang, Guoqing Li

Proceedings of the Database Systems for Advanced Applications, 2024

2023

TUSQ: Targeted High-Utility Sequence Querying.

Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu

IEEE Trans. Big Data, April, 2023

VESC: a new variational autoencoder based model for anomaly detection.

Chunkai Zhang, Xinyu Wang, Jiahua Zhang, Shaocong Li, Hanyu Zhang, Chuanyi Liu, Peiyi Han

Int. J. Mach. Learn. Cybern., March, 2023

FinChain-BERT: A High-Accuracy Automatic Fraud Detection Model Based on NLP Methods for Financial Scenarios.

Xinze Yang, Chunkai Zhang, Yizhi Sun, Kairui Pang, Luru Jing, Shiyun Wa, Chunli Lv

Inf., 2023

Discovering Utility-driven Interval Rules.

Chunkai Zhang, Maohua Lyu, Huaijin Hao, Wensheng Gan, Philip S. Yu

CoRR, 2023

LayerLog: Log sequence anomaly detection based on hierarchical semantics.

Chunkai Zhang, Xinyu Wang, Hongye Zhang, Jiahua Zhang, Hanyu Zhang, Chuanyi Liu, Peiyi Han

Appl. Soft Comput., 2023

2022

On-Shelf Utility Mining of Sequence Data.

Chunkai Zhang, Zilin Du, Yuting Yang, Wensheng Gan, Philip S. Yu

ACM Trans. Knowl. Discov. Data, 2022

AAGCN: Adjacency-aware Graph Convolutional Network for person re-identification.

Honghu Pan, Yang Bai, Zhenyu He, Chunkai Zhang

Knowl. Based Syst., 2022

DSGNN: A dynamic and static intentions integrated graph neural network for session-based recommendation.

Chunkai Zhang, Quan Liu, Zeyu Zhang

Neurocomputing, 2022

SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation.

Chunkai Zhang, Wenjing Zheng, Quan Liu, Junli Nie, Hanyu Zhang

Expert Syst. Appl., 2022

On-manifold adversarial attack based on latent space substitute model.

Chunkai Zhang, Xiaofeng Luo, Peiyi Han

Comput. Secur., 2022

2021

Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model.

Chunkai Zhang, Xinyu Wang, Hongye Zhang, Hanyu Zhang, Peiyi Han

IEEE Trans. Netw. Serv. Manag., 2021

Explainable Fuzzy Utility Mining on Sequences.

Wensheng Gan, Zilin Du, Weiping Ding, Chunkai Zhang, Han-Chieh Chao

IEEE Trans. Fuzzy Syst., 2021

ADET: anomaly detection in time series with linear time.

Chunkai Zhang, Wei Zuo, Ao Yin, Xuan Wang, Chuanyi Liu

Int. J. Mach. Learn. Cybern., 2021

TKUS: Mining top-<i>k</i> high utility sequential patterns.

Chunkai Zhang, Zilin Du, Wensheng Gan, Philip S. Yu

Inf. Sci., 2021

Utility-driven Mining of Contiguous Sequences.

Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu

CoRR, 2021

An efficient general black-box adversarial attack approach based on multi-objective optimization for high dimensional images.

Chunkai Zhang, Xin Guo, Yepeng Deng, Xuan Wang, Peiyi Han, Chuanyi Liu, Hanyu Zhang

Comput. Electr. Eng., 2021

Reconstruct Anomaly to Normal: Adversarially Learned and Latent Vector-Constrained Autoencoder for Time-Series Anomaly Detection.

Chunkai Zhang, Wei Zuo, Shaocong Li, Xuan Wang, Peiyi Han, Chuanyi Liu

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020

An Efficient Algorithm for Extracting High-Utility Hierarchical Sequential Patterns.

Chunkai Zhang, Zilin Du, Yiwen Zu

Wirel. Commun. Mob. Comput., 2020

TKUS: Mining Top-K High-Utility Sequential Patterns.

Chunkai Zhang, Zilin Du, Wensheng Gan, Philip S. Yu

CoRR, 2020

Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection.

Chunkai Zhang, Wei Zuo, Xuan Wang

CoRR, 2020

Spatio-Temporal Attentive Network for Session-Based Recommendation.

Chunkai Zhang, Junli Nie

Proceedings of the Knowledge Science, Engineering and Management, 2020

2019

Research on classification method of high-dimensional class-imbalanced datasets based on SVM.

Chunkai Zhang, Ying Zhou, Jianwei Guo, Guoquan Wang, Xuan Wang

Int. J. Mach. Learn. Cybern., 2019

HashEclat: an efficient frequent itemset algorithm.

Chunkai Zhang, Panbo Tian, Xudong Zhang, Qing Liao, Zoe Lin Jiang, Xuan Wang

Int. J. Mach. Learn. Cybern., 2019

Region-filtering correlation tracking.

Nana Fan, Jing Li, Zhenyu He, Chunkai Zhang, Xin Li

Knowl. Based Syst., 2019

Anomaly Detection Algorithm Based on Subspace Local Density Estimation.

Chunkai Zhang, Ao Yin

Int. J. Web Serv. Res., 2019

Fast Eclat Algorithms Based on Minwise Hashing for Large Scale Transactions.

Chunkai Zhang, Panbo Tian, Xudong Zhang, Zoe Lin Jiang, Lin Yao, Xuan Wang

IEEE Internet Things J., 2019

Multi-task deep convolutional neural network for cancer diagnosis.

Qing Liao, Ye Ding, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang

Neurocomputing, 2019

Time Series Anomaly Detection with Variational Autoencoders.

Chunkai Zhang, Yingyang Chen

CoRR, 2019

VCOS: A Novel Synergistic Oversampling Algorithm in Binary Imbalance Classification.

Chunkai Zhang, Ying Zhou, Yepeng Deng

IEEE Access, 2019

A Fast Algorithm for Hiding High Utility Sequential Patterns.

Chunkai Zhang, Yiwen Zu, Junli Nie, Linzi Du, Jingqi Du, Siyuan Hong, Wenping Wu

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

An Adversarial Attack Based on Multi-objective Optimization in the Black-Box Scenario: MOEA-APGA II.

Chunkai Zhang, Yepeng Deng, Xin Guo, Xuan Wang, Chuanyi Liu

Proceedings of the Information and Communications Security - 21st International Conference, 2019

An Efficient Parallel High Utility Sequential Pattern Mining Algorithm.

Chunkai Zhang, Yiwen Zu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

A Multi-objective Examples Generation Approach to Fool the Deep Neural Networks in the Black-Box Scenario.

Yepeng Deng, Chunkai Zhang, Xuan Wang

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Anomaly Subsequence Detection with Dynamic Local Density for Time Series.

Chunkai Zhang, Yingyang Chen, Ao Yin

Proceedings of the Database and Expert Systems Applications, 2019

2018

Decision Tree Based Approaches for Detecting Protein Complex in Protein Protein Interaction Network (PPI) via Link and Sequence Analysis.

Aisha Sikandar, Waqas Anwar, Usama Ijaz Bajwa, Xuan Wang, Misba Sikandar, Lin Yao, Zoe Lin Jiang, Chunkai Zhang

IEEE Access, 2018

Fast Time Series Discords Detection with Privacy Preserving.

Chunkai Zhang, Ao Yin, Yulin Wu, Yingyang Chen, Xuan Wang

Proceedings of the 17th IEEE International Conference On Trust, 2018

BOFE: Anomaly Detection in Linear Time Based on Feature Estimation.

Ao Yin, Chunkai Zhang

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

An Improvement of PAA on Trend-Based Approximation for Time Series.

Chunkai Zhang, Yingyang Chen, Ao Yin, Zhen Qin, Xing Zhang, Keli Zhang, Zoe Lin Jiang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

PPLDEM: A Fast Anomaly Detection Algorithm with Privacy Preserving.

Ao Yin, Chunkai Zhang, Zoe Lin Jiang, Yulin Wu, Xing Zhang, Keli Zhang, Xuan Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Towards Secure Cloud Data Similarity Retrieval: Privacy Preserving Near-Duplicate Image Data Detection.

Yulin Wu, Xuan Wang, Zoe Lin Jiang, Xuan Li, Jin Li, Siu-Ming Yiu, Zechao Liu, Hainan Zhao, Chunkai Zhang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

An Improved Measurement of the Imbalanced Dataset.

Chunkai Zhang, Ying Zhou, Yingyang Chen, Changqing Qi, Xuan Wang, Lifeng Dong

Proceedings of the Cloud Computing - CLOUD 2018, 2018

Over-Sampling Algorithm Based on VAE in Imbalanced Classification.

Chunkai Zhang, Ying Zhou, Yingyang Chen, Yepeng Deng, Xuan Wang, Lifeng Dong, Haoyu Wei

Proceedings of the Cloud Computing - CLOUD 2018, 2018

A Novel Anomaly Detection Algorithm Based on Trident Tree.

Chunkai Zhang, Ao Yin, Yepeng Deng, Panbo Tian, Xuan Wang, Lifeng Dong

Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017

Deep convolutional neural networks for thermal infrared object tracking.

Qiao Liu, Xiaohuan Lu, Zhenyu He, Chunkai Zhang, Wen-Sheng Chen

Knowl. Based Syst., 2017

Mining inter-transaction association rules from multiple time-series data.

Chunkai Zhang, Xudong Zhang, Zoe Lin Jiang, Qing Liao, Lin Yao, Xuan Wang

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Feature selection for high dimensional imbalanced class data based on F-measure optimization.

Chunkai Zhang, Guoquan Wang, Ying Zhou, Lin Yao, Zoe Lin Jiang, Qing Liao, Xuan Wang

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

A novel privacy-preserving distributed anomaly detection method.

Chunkai Zhang, Haodong Liu, Ye Li, Ao Yin, Zoe Lin Jiang, Qing Liao, Xuan Wang

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling.

Chunkai Zhang, Jianwei Guo, Changqing Qi, Zoe Lin Jiang, Qing Liao, Lin Yao, Xuan Wang

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

White-box traceable dynamic attribute based encryption.

Zechao Liu, Xuan Wang, Lei Cui, Zoe Lin Jiang, Chunkai Zhang

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Cancer classification with multi-task deep learning.

Qing Liao, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Research of Detection Algorithm for Time Series Abnormal Subsequence.

Chunkai Zhang, Haodong Liu, Ao Yin

Proceedings of the Data Science, 2017

An Approximate Approach to Frequent Itemset Mining.

Chunkai Zhang, Xudong Zhang, Panbo Tian

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

A New Approach for Imbalanced Data Classification Based on Minimize Loss Learning.

Chunkai Zhang, Guoquan Wang, Ying Zhou, Jiayao Jiang

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Time Series Discord Discovery Under Multi-party Privacy Preserving.

Chunkai Zhang, Haodong Liu, Ye Li

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM.

Chunkai Zhang, Jianwei Guo, Junru Lu

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

2016

A multi-view model for visual tracking via correlation filters.

Xin Li, Qiao Liu, Zhenyu He, Hongpeng Wang, Chunkai Zhang, Wen-Sheng Chen

Knowl. Based Syst., 2016

Dynamic Attribute-Based Access Control in Cloud Storage Systems.

Zechao Liu, Zoe Lin Jiang, Xuan Wang, Siu-Ming Yiu, Chunkai Zhang, Xiaomeng Zhao

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Classification Method of Imbalanced Data Base on PSO Algorithm.

Junru Lu, Chunkai Zhang, Fengxing Shi

Proceedings of the Social Computing, 2016

2014

DBBoost-Enhancing Imbalanced Classification by a Novel Ensemble Based Technique.

Chunkai Zhang, Pengfei Jia

Proceedings of the 2014 International Conference on Medical Biometrics, Shenzhen, Guangdong, China, May 30, 2014

A new sampling approach for classification of imbalanced data sets with high density.

Pengfei Jia, Chunkai Zhang, Zhenyu He

Proceedings of the International Conference on Big Data and Smart Computing, BIGCOMP 2014, 2014

2011

Application oriented data cleaning For RFID middleware.

Chunkai Zhang, Yuan Li, Yan Chen

Proceedings of the IEEE International Conference on Systems, 2011

2009

ResidualRanking: a robust Access-Point selection strategy for indoor location tracking.

Min Wang, Chunkai Zhang

Proceedings of the IEEE International Conference on Systems, 2009

2008

A Power-aware Adaptive Dynamic Routing Scheme for Wireless Ad Hoc Networks.

Li Zhang, Zhenwei Yu, Yang Zhang, Chun-Kai Zhang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

2007

An Evolved Recurrent Neural Network and Its Application.

Chunkai Zhang, Hong Hu

Proceedings of the Trends in Neural Computation, 2007

2006

Feature Selection in SVM Based on the Hybrid of Enhanced Genetic Algorithm and Mutual Information.

Chunkai Zhang, Hong Hu

Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

2005

Using PSO algorithm to evolve an optimum input subset for a SVM in time series forecasting.

Chunkai Zhang, Hong Hu

Proceedings of the IEEE International Conference on Systems, 2005

An evolved recurrent neural network and its application in the state estimation of the CSTR system.

Chunkai Zhang, Hong Hu

Proceedings of the IEEE International Conference on Systems, 2005

An Evolved Recurrent Neural Network and Its Application.

Chunkai Zhang, Hong Hu

Proceedings of the Advances in Natural Computation, First International Conference, 2005

An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information.

Chunkai Zhang, Hong Hu

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Ant Colony Optimization Combining with Mutual Information for Feature Selection in Support Vector Machines.

Chunkai Zhang, Hong Hu

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2001

A hybrid strategy: real-coded genetic algorithm and chaotic search.

Chun-kai Zhang, Hui-he Shao

Proceedings of the IEEE International Conference on Systems, 2001

2000

Particle swarm optimisation for evolving artificial neural network.

Chunkai Zhang, Huihe Shao, Yu Li

Proceedings of the IEEE International Conference on Systems, 2000

An ANN's evolved by a new evolutionary system and its application.

Chunkai Zhang, Huihe Shao

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Particle Swarm Optimisation in Feedforward Neural Network.

Chunkai Zhang, Huihe Shao

Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000